CBABridge

有关matlab初学编程的人有帮助的程序，特别是simulink的初学者。(the Matlab programming novice who help procedures, in particular Simulink beginners.)

雷达发射线性调频信号，载频10GHz，线性调频信号带宽10MHz，脉宽5us，采样率自设，两目标距离雷达5000米和5020米 （1）模拟两个目标的回波，并进行脉冲压缩（匹配滤波），验证脉冲压缩对改善雷达距离分辨力的作用 （2）调整两个目标的间距从1米到20米，观察结果得出结论。(Radar transmitting chirp signal, carrier frequency 10GHz, chirp signal bandwidth of 10MHz, pulse 5us, sample rate set up, two goals the radar 5000 meters and 5020 meters (1) Analog two goals echo, and pulse compression ( matched filtering), verify pulse compression radar range resolution on improving the role of (2) to adjust the distance between two goals 1 meter to 20 meters, observations concluded.)

Xilinx公司pc_cfr IP核的MatLab仿真(matlab simulation model of pc_cfr ip core of xilinx)

均值滤波,加权滤波,中值滤波的MATLAB实例,用于图象及信号的处理(Mean filter, weighted filtering, median filtering of the MATLAB examples for image and signal processing)

基于matlab，针对灰度图像中圆形区域进行检测，得到所需要的圆形区域(Based on matlab, a circular area for the gray image to detect a circular area to get the required)

off line FX-LMS algorithm to reduce noise from primary path

随机信号通过4fsk调制经过瑞利衰落信道的误码率仿真(reilaign channel)

Matlab gui ,about matlab gui importat info

运用matlab对数字图像进行处理，让大家更了解数字图像(deal digital image)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)